Abstract: Adversarial attacks introduced subtle perturbations to input images to mislead classification models into producing incorrect predictions. Training models using adversarial examples defended ...

Abstract: Food image classification is a fundamental step of image-based dietary assessment, enabling automated nutrient analysis from food images. Many current methods employ deep neural networks to ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

Besides the GDC 2025 announcements, Google announced today that Gemini in Android Studio “now supports multimodal inputs, which lets you attach images directly to your prompts” for visual help during ...

How do you test any python code that uses the random module? You might know about mocking methods of the random module and fixing the returned values. It is good because you can exactly say what ...